Migration work that starts with understanding the estate.

Know what you are migrating before you commit to migrating it.

The most likely first engagement, and the one that makes every later decision cheaper. We inventory what exists, identify dependencies and lineage, isolate orphaned objects and classify complexity, so that effort and risk are based on evidence rather than on the estate everyone remembers.

Typical outputs

• Repository and object inventory
• Dependency and lineage view
• Orphan and dead-code audit
• Complexity tiers and migration patterns
• Effort, schedule and cost model
• Go / no-go risks and decision pack

Typical duration: Sized to estate complexity, and designed as a short standalone paid engagement. Trace53 does not commit you to the rest of the framework.

Rebuild the logic that should survive — without reproducing the architecture that should not.

Shift53 is not a syntax converter. We migrate transformation logic, procedures and orchestration while deliberately redesigning the patterns that should not outlive the source platform, using the complexity tiers and pattern families Trace53 produced. The repeating majority is generated deterministically from repository metadata, so the output is reproducible and reviewable; AI assistance is reserved for the bespoke residue — custom knowledge modules, procedural logic, undocumented business rules — and runs inside your own cloud tenancy, on metadata rather than business data, with every result reviewed and reconciled before it ships.

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What it emits

Ordinary code in your repository: one pattern per family, one configuration per object, and a review document that names the bespoke residue and the bindings to supply. No runtime, no agent, nothing proprietary left behind.

What it refuses to generate

Shift53 does not guess. It will not convert a pattern that has not been designed, will not generate an object wired differently from its siblings, will not invent a connection detail, and will not rewrite the SELECT that carries your business logic. What the generator refuses to produce matters as much as what it emits — it is what keeps every generated line reviewable. And because effort concentrates in the first instance of each pattern, with repeats close to free, conversion cost tracks distinct patterns rather than object counts.

Where the effort goes

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Illustrative of shape. The ratio of objects to distinct patterns is measured in your own estate during Trace53.

Typical outputs

• Transformation logic conversion
• Procedure and package rehoming
• Orchestration and scheduling rebuild
• Target transformation layer build
• Target data modelling
• Load and CDC pattern modernisation
• Deterministic pattern generation, AI-assisted bespoke residue

Evidence that the new platform matches the business truth of the old one.

Migration is not complete when the jobs run. It is complete when the new estate can demonstrate that it produces the right results, repeatably, against agreed tolerances — and when that demonstration is durable enough to survive an audit.

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Proof53 never connects to your database. It writes reconciliation SQL a DBA can read in full; your team runs it through the toolstack you already trust, and Proof53 compares the returned numbers and assembles the evidence. No credentials, no egress, no business data leaving the platform.

Two rules keep the evidence honest: the tool never invents a warning — every tolerance and accepted difference is declared by a named owner, with a reason and an expiry — and two empty tables can never pass; a run with nothing on either side is invalid, not green.

Typical outputs

• Parallel run design
• Row-count and aggregate reconciliation
• Business-rule validation
• Runtime and reliability comparison
• Repeatable sign-off evidence and go / no-go gates

The new platform becomes operational — and stays that way without us.

Handover implies that Labs 53 leaves. Operate53 is the opposite framing: the objective is that the client team can run, support and evolve the new estate independently, and that the operating model is proven before we step back.

Typical outputs

• Operational runbooks
• Knowledge transfer
• Support and restart procedures
• Architecture and lineage documentation
• Controlled transition to BAU ownership

Oracle Data Integrator migration, with the repository read as evidence rather than guessed at.

ODI estates are rarely just mappings. Custom knowledge modules, packages, procedures, variables, scenarios and load patterns often encode years of operating knowledge. Our ODI work explicitly inventories and classifies those constructs before conversion — Trace53 for ODI reads the repository exports and reports what is actually there.

• ODI repository analysis and object fingerprinting
• Knowledge module census and reverse engineering
• Mapping, package and procedure migration
• Load-plan and CDC pattern redesign
• Orphan and obsolete-object identification
• Reconciliation against the Oracle baseline

How we migrate ODI, in depth →